Decelerated spreading in degree-correlated networks

While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively)...

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Main Authors: Schlapfer, Markus Stefan, Buzna, Lubos
Other Authors: Massachusetts Institute of Technology. Department of Urban Studies and Planning
Format: Article
Language:en_US
Published: American Physical Society 2012
Online Access:http://hdl.handle.net/1721.1/72101
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author Schlapfer, Markus Stefan
Buzna, Lubos
author2 Massachusetts Institute of Technology. Department of Urban Studies and Planning
author_facet Massachusetts Institute of Technology. Department of Urban Studies and Planning
Schlapfer, Markus Stefan
Buzna, Lubos
author_sort Schlapfer, Markus Stefan
collection MIT
description While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively) correlated networks if nodes with a high connectivity locally accelerate (decelerate) the propagation. Examining the efficient paths offers a coherent explanation for this result, while the k-core decomposition reveals the dependence of the nodal spreading efficiency on the correlation. Our findings should open new pathways to delicately control real-world spreading processes.
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spelling mit-1721.1/721012022-09-28T19:08:08Z Decelerated spreading in degree-correlated networks Schlapfer, Markus Stefan Buzna, Lubos Massachusetts Institute of Technology. Department of Urban Studies and Planning Schläpfer, Markus Stefan Schlapfer, Markus Stefan While degree correlations are known to play a crucial role for spreading phenomena in networks, their impact on the propagation speed has hardly been understood. Here we investigate a tunable spreading model on scale-free networks and show that the propagation becomes slow in positively (negatively) correlated networks if nodes with a high connectivity locally accelerate (decelerate) the propagation. Examining the efficient paths offers a coherent explanation for this result, while the k-core decomposition reveals the dependence of the nodal spreading efficiency on the correlation. Our findings should open new pathways to delicately control real-world spreading processes. 2012-08-10T19:24:35Z 2012-08-10T19:24:35Z 2012-01 2011-12 Article http://purl.org/eprint/type/JournalArticle 1539-3755 1550-2376 http://hdl.handle.net/1721.1/72101 Schläpfer, Markus, and Lubos Buzna. “Decelerated Spreading in Degree-correlated Networks.” Physical Review E 85.1 (2012). © 2012 American Physical Society en_US http://dx.doi.org/10.1103/PhysRevE.85.015101 Physical Review E Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Physical Society APS
spellingShingle Schlapfer, Markus Stefan
Buzna, Lubos
Decelerated spreading in degree-correlated networks
title Decelerated spreading in degree-correlated networks
title_full Decelerated spreading in degree-correlated networks
title_fullStr Decelerated spreading in degree-correlated networks
title_full_unstemmed Decelerated spreading in degree-correlated networks
title_short Decelerated spreading in degree-correlated networks
title_sort decelerated spreading in degree correlated networks
url http://hdl.handle.net/1721.1/72101
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AT buznalubos deceleratedspreadingindegreecorrelatednetworks